Abstract
We present PopNetD3, a web tool that provides an integrated approach for the network-based visualization of population structure based on the PopNet clustering framework. Users first submit a tab-delimited file that defines diversity of SNPs across the genome which is subsequently processed by the PopNet backend to define patterns of conservation at the chromosome level. The resulting population structure is visualized through a dedicated D3-based tool, allowing users to interactively examine chromosomal regions predicted to share ancestry. We illustrate the capabilities of PopNetD3 through an analysis of 16 strains of Neisseria gonorrhoeae. PopNetD3 is capable of processing population data sets consisting of hundreds of individuals and is publicly available online at: http://compsysbio.org/popnetd3 Last Accessed: May 17, 2019.